product formulation record

A formulation record is one row set describing a single branded household product, decomposed to individual chemical ingredients with concentrations and health effects.

CPID holds roughly 28,000 such records across ten product categories, each carrying its own ingredient table.

In this catalog it appears concretely: - CPID (granularity) — "One record per branded product formulation, broken down to individual chemical ingredients". - estimated_size — "About 28,000+ consumer brand records across 10 categories, each with an ingredient table".

estimated_size is the second reference point worth knowing: "About 28,000+ consumer brand records across 10 categories, each with an ingredient table". Reading the two together shows how much variation sits underneath one shared label.

A label on a listing is not a deliverable. Teams that license on the strength of a product-name match routinely find the shipped files cover a narrower slice than they assumed, and backfilling history afterwards costs more than the license ever did.

The failure mode is concrete: a source can carry the product formulation record label while differing from what you need on exactly the dimension that matters — One record per branded product formulation, broken down to individual chemical ingredients. Comparing two sources on that line usually settles the choice faster than any feature matrix.

You rarely have to take a vendor's word for it. 82.4% of the 1,744 datasets Datadory catalogs are free to access, and CPID lets you inspect the real artifact before any budget is committed.

Treat every claim of this attribute as testable:

1. Read CPID's record on granularity — "One record per branded product formulation, broken down to individual chemical ingredients" — then confirm the delivered artifact matches before you license anything.
2. Open estimated_size and confirm its record — "About 28,000+ consumer brand records across 10 categories, each with an ingredient table" — against the files you actually receive.

See the term applied to real records: household-products data.

Adjacent concepts worth reading next: - ingredient weight fraction - product use category - safety data sheet